MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING
Ahmad Al-Subhi, Chokri Belhadj Ahmad
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Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach. [PDF]
Du H +5 more
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National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021. [PDF]
Bracher J +41 more
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Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting [PDF]
Year-ahead forecasting of electricity prices is an important issue in the current context of electricity markets. Nevertheless, only one-day-ahead forecasting is commonly tackled up in previous published works.
andrés M. Alonso +3 more
core
Short-term forecasting of confirmed daily COVID-19 cases in the Southern African Development Community region. [PDF]
Shoko C, Sigauke C, Njuho P.
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Short-term forecasting of the COVID-19 outbreak in India. [PDF]
Mangla S, Pathak AK, Arshad M, Haque U.
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A case study of NeuralProphet and nonlinear evaluation for high accuracy prediction in short-term forecasting in PV solar plant. [PDF]
Arias Velásquez RM.
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Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition. [PDF]
Tang J, Chien YR.
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Global short-term forecasting of COVID-19 cases. [PDF]
Oliveira TP, Moral RA.
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Short-term forecasting of the coronavirus pandemic. [PDF]
Doornik JA, Castle JL, Hendry DF.
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